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角回充当非词汇阅读网络和语义系统之间的接口:来自动态因果建模的证据。

The angular gyrus serves as an interface between the non-lexical reading network and the semantic system: evidence from dynamic causal modeling.

机构信息

Department of Neuropsychology, Faculty of Psychology, Ruhr-University Bochum, Universitätsstraße 150, 44801, Bochum, Germany.

Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University, Universitätsstraße 1, 40225, Düsseldorf, Germany.

出版信息

Brain Struct Funct. 2024 Apr;229(3):561-575. doi: 10.1007/s00429-023-02624-z. Epub 2023 Mar 11.

Abstract

Understanding encoded language, such as written words, requires multiple cognitive processes that act in a parallel and interactive fashion. These processes and their interactions, however, are not fully understood. Various conceptual and methodical approaches including computational modeling and neuroimaging have been applied to better understand the neural underpinnings of these complex processes in the human brain. In this study, we tested different predictions of cortical interactions that derived from computational models for reading using dynamic causal modeling. Morse code was used as a model for non-lexical decoding followed by a lexical-decision during a functional magnetic resonance examination. Our results suggest that individual letters are first converted into phonemes within the left supramarginal gyrus, followed by a phoneme assembly to reconstruct word phonology, involving the left inferior frontal cortex. To allow the identification and comprehension of known words, the inferior frontal cortex then interacts with the semantic system via the left angular gyrus. As such, the left angular gyrus is likely to host phonological and semantic representations and serves as a bidirectional interface between the networks involved in language perception and word comprehension.

摘要

理解编码语言,如书面文字,需要多个认知过程以并行和交互的方式发挥作用。然而,这些过程及其相互作用尚未完全理解。各种概念和方法,包括计算建模和神经影像学,已被应用于更好地理解人类大脑中这些复杂过程的神经基础。在这项研究中,我们使用功能磁共振检查,通过动态因果建模测试了阅读计算模型衍生的皮质相互作用的不同预测。莫尔斯电码被用作非词汇解码的模型,随后在词汇决策期间进行。我们的结果表明,单个字母首先在左缘上回转化为音素,然后通过音素组装来重建单词的语音,涉及左额下回。为了允许识别和理解已知单词,额下回然后通过左角回与语义系统相互作用。因此,左角回可能承载语音和语义表示,并作为语言感知和单词理解涉及的网络之间的双向接口。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e86f/10978681/3e3c5bf91b77/429_2023_2624_Fig1_HTML.jpg

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